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Anomaly-Detection-Model-Deployment-Using-AWS
Anomaly-Detection-Model-Deployment-Using-AWS PublicUtilized a sample solution deployed by using the AWS CloudFormation template provided by the AWS,We have developed an end-to-end workflow in a dataset with more than 280,000 records for detecting a…
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Production-of-Cryptocurrency-Data-Lake-Using-Spark-
Production-of-Cryptocurrency-Data-Lake-Using-Spark- PublicThis project is a ETL pipeline processing structured financial data and unstructured social media data related to cryptocurrencies(dataset with millions of record). Which prepare for exploring the …
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CNN-RNN-HAN-for-Text-Classification-Using-NLP
CNN-RNN-HAN-for-Text-Classification-Using-NLP PublicIt’s a NLP Problem,the goal of our project is to classify categories of news based on the content of news articles from the BBC website using CNN, RNN and HAN models on two datasets that the former…
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Predict-Credit-Card-Default-Behavior-Using-Machine-Learning-and-Deep-Learning-Algorithm
Predict-Credit-Card-Default-Behavior-Using-Machine-Learning-and-Deep-Learning-Algorithm PublicThe main goal of this project is to build several models to predict customers' default behavior on credit card payment in a dataset with more than 30,000 customer transaction records. Used python …
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Credit-Risk-Classifier-
Credit-Risk-Classifier- PublicC It is a Credit Risk assessment project performed on a dataset with more than 200,000 records,which helps the bank to evaluate if a loan applicant can be a defaulter at a later stage so that they …
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Big-Data-Analysis-on-Credit-Card-Fraud-Detection-Using-Spark-
Big-Data-Analysis-on-Credit-Card-Fraud-Detection-Using-Spark- PublicA Spark big data project analyzing a large financial transaction dataset with more than 1000,000 customer transaction records. and some machine learning models are built to predict fraudulent recor…
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